AI Architect (Multi-Cloud | Multi-LLM | Enterprise AI Platform)

We are seeking an experienced AI / Agentic AI Architect to lead the design, architecture, and implementation of enterprise-scale AI platforms. The ideal candidate will have deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), AI Gateways, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and cloud-native architectures.

You will architect scalable, secure, and highly available AI platforms that support multiple cloud providers, multiple LLMs, AI agents, enterprise APIs, and intelligent automation. You will work closely with product owners, engineering teams, security teams, and business stakeholders to deliver production-ready AI solutions.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 12+ years of software engineering and architecture experience.
• 5+ years of experience designing enterprise AI or Generative AI platforms.
• Strong experience with Python, Java, Spring Boot, FastAPI, and RESTful APIs.
• Expertise in Kubernetes, Docker, Terraform, and CI/CD pipelines.
• Hands-on experience with LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Semantic Kernel.
• Experience with vector databases such as Pinecone, Vertex AI Vector Search, pgvector, Milvus, Weaviate, Redis Vector, or MongoDB Atlas Vector Search.
• Strong understanding of API Management, API Gateway, AI Gateway, MCP, and enterprise integration patterns.
• Experience with PostgreSQL, MongoDB, Redis, Elasticsearch, and cloud-native data services.
• Excellent communication, leadership, and stakeholder management skills.